3 papers indexed
Rongjian Gu, Wengang Zhou, Junyu Xiong, Yonghui Wang, Bing Yin, Bei Wang, et al.
Multi-page document visual question answering requires locating sparse evidence at both the page and region levels. Existing approaches typically emphasize one level over the other: page-centric methods focus on page acquisition, with region operations serving mainly as navigatio…
Yongjun Ma, Minli Tang, Shi Dong, Haitao Zhang, Wengang Zhou
The development of accurate yet efficient deep learning models for Chest X-ray interpretation is critical for scalable screening and point-of-care diagnostics. While self-supervised learning reduces dependency on costly annotations and knowledge distillation compresses models, ef…
Junyu Xiong, Yonghui Wang, Rongjian Gu, Chenyu Liu, Bing Yin, Wengang Zhou, et al.
Retrieval-Augmented Generation (RAG) streamlines long-document understanding by leveraging retrieval mechanisms to restrict input images to a highly curated subset. However, existing multimodal RAG pipelines primarily face two critical challenges: first, standard semantic similar…